AI from Stanford Reads Disease Risks in Sleep: SleepFM Predicts Over 130 Ailments from One Night.

The SleepFM model reveals how sleep analysis can predict disease risk, offering insights into sleep's role as a vital health ...

COMET, a novel machine learning framework, integrates EHR data and omics analyses using transfer learning, significantly enhancing predictive modeling and uncovering biological insights from small ...

Somite, an AI-native TechBio company building the first universal virtual cell-signaling model, today announced its new identity, Cellular Intelligence. This rebrand reflects the company's vision to ...

A poor night's sleep portends a bleary-eyed next day, but it could also hint at diseases that will strike years down the road ...

The collaboration with Sanofi focuses on developing bispecific antibodies for autoimmune diseases, leveraging predictive ...

Stanford's AI suggests that a single night's sleep can anticipate serious illnesses years before the first symptoms appear.

Could our nightly sleep provide hidden clues to serious illnesses—years before symptoms appear? And could artificial ...

Non-communicable diseases (NCDs) such as cardiovascular diseases, diabetes, cancer, and chronic respiratory conditions are the leading cause of death globally, accounting for 74% of all deaths ...

The integration of bioinformatics, machine learning and multi-omics has transformed soil science, providing powerful tools to ...